{"id":3190,"date":"2026-07-04T00:20:39","date_gmt":"2026-07-04T07:20:39","guid":{"rendered":"https:\/\/sonix.ai\/resources\/?p=3190"},"modified":"2026-08-05T23:03:56","modified_gmt":"2026-08-06T06:03:56","slug":"ses-metin-donusturme-alanindaki-egilimler","status":"publish","type":"post","link":"https:\/\/sonix.ai\/resources\/tr\/audio-to-text-processing-trends\/","title":{"rendered":"2026 Y\u0131l\u0131nda Her Profesyonelin Bilmesi Gereken 14 Ses-Metin D\u00f6n\u00fc\u015ft\u00fcrme E\u011filimi"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><em>Kapsaml\u0131 ara\u015ft\u0131rmalardan derlenen kapsaml\u0131 veriler <a href=\"https:\/\/sonix.ai\/resources\/tr\/best-transcription-software-for-qualitative-research\/\">ara\u015ft\u0131rma<\/a> Yapay zeka destekli transkripsiyon, \u00e7eviri ve ses tan\u0131ma alan\u0131ndaki d\u00f6n\u00fc\u015f\u00fcm \u00fczerine<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u00d6nemli \u00c7\u0131kar\u0131mlar<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ses transkripsiyonu pazar\u0131 patlama niteli\u011finde bir b\u00fcy\u00fcme ya\u015f\u0131yor<\/strong> \u2014 K\u00fcresel konu\u015fma-metin d\u00f6n\u00fc\u015ft\u00fcrme API pazar\u0131n\u0131n, 2024\u2019teki $5 milyar seviyesinden 2034 y\u0131l\u0131na kadar $21 milyara ula\u015faca\u011f\u0131 tahmin ediliyor; bu, sekt\u00f6rler genelinde i\u015fletmelerin ses i\u00e7eri\u011fini i\u015fleme bi\u00e7imini k\u00f6kten de\u011fi\u015ftiren ,2%\u2019lik bir y\u0131ll\u0131k bile\u015fik b\u00fcy\u00fcme oran\u0131 (CAGR) anlam\u0131na geliyor<\/li>\n\n\n\n<li><strong>Yapay zekan\u0131n do\u011fruluk d\u00fczeyi art\u0131k insan transkripsiyon uzmanlar\u0131yla boy \u00f6l\u00e7\u00fc\u015f\u00fcyor<\/strong> \u2014 \u00d6nde gelen <a href=\"https:\/\/sonix.ai\/features\/automated-transcription\">otomati\u0307k transkri\u0307psi\u0307yon<\/a> Bu platformlar, 99%+ do\u011fruluk oranlar\u0131na ula\u015farak insan transkripsiyon kalitesine etkili bir \u015fekilde ula\u015f\u0131rken, sonu\u00e7lar\u0131 saatler yerine dakikalar i\u00e7inde sunuyor<\/li>\n\n\n\n<li><strong>Bulut tabanl\u0131 \u00e7\u00f6z\u00fcmler sekt\u00f6rde hakim konumdad\u0131r<\/strong> \u2014 Bulut tabanl\u0131 \u00e7\u00f6z\u00fcmler, konu\u015fma ve ses tan\u0131ma pazar pay\u0131n\u0131n %\u2019sini elinde bulunduruyor; bu sayede ekipler, BT y\u00fck\u00fc veya altyap\u0131 yat\u0131r\u0131m\u0131 gerektirmeden her yerden transkripsiyon ara\u00e7lar\u0131na eri\u015febiliyor<\/li>\n\n\n\n<li><strong>Ses teknolojisi yayg\u0131n olarak benimsenir hale geldi<\/strong> \u2014 D\u00fcnya genelinde 8,4 milyar dijital sesli asistan\u0131n kullan\u0131l\u0131yor olmas\u0131 \u2014 bu rakam d\u00fcnya n\u00fcfusunu a\u015f\u0131yor \u2014 ses-metin d\u00f6n\u00fc\u015ft\u00fcrme teknolojisi art\u0131k her yerde kar\u015f\u0131m\u0131za \u00e7\u0131k\u0131yor ve tan\u0131ma algoritmalar\u0131nda s\u00fcrekli iyile\u015ftirmelere \u00f6nc\u00fcl\u00fck ediyor<\/li>\n\n\n\n<li><strong>Sa\u011fl\u0131k ve t\u0131p sekt\u00f6rleri, bu teknolojinin sekt\u00f6rlere \u00f6zel olarak benimsenmesinde \u00f6nc\u00fcl\u00fck ediyor<\/strong> \u2014 Sa\u011fl\u0131k sekt\u00f6r\u00fc, toplam\u0131n ,71'ini olu\u015fturmaktad\u0131r. <a href=\"https:\/\/sonix.ai\/resources\/tr\/best-ai-transcription-software\/\">Yapay zeka transkripsiyonu<\/a> pazar; klinik dok\u00fcmantasyon gerekliliklerinin artmas\u0131yla birlikte sa\u011fl\u0131k sekt\u00f6r\u00fcndeki transkripsiyon pazar\u0131n\u0131n 2025 y\u0131l\u0131na kadar $493,3 milyona ula\u015faca\u011f\u0131 tahmin ediliyor<\/li>\n\n\n\n<li><strong>\u00c7ok dilli \u00f6zellikler vazge\u00e7ilmez hale geliyor<\/strong> \u2014 2024 y\u0131l\u0131nda, yapay sinir a\u011flar\u0131 ve yapay zeka taraf\u0131ndan \u00fcretilen sesler, metinden sese d\u00f6n\u00fc\u015ft\u00fcrme pazar gelirinin ,91'ini olu\u015fturdu; bu durum, k\u00fcresel ileti\u015fim alan\u0131nda hem sesten metne hem de metinden sese uygulamalar\u0131n\u0131n giderek daha geli\u015fmi\u015f hale geldi\u011fini g\u00f6steriyor<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Yapay Zeka Destekli Ses Transkripsiyonunun Y\u00fckseli\u015fi: H\u0131z, Do\u011fruluk ve Uygun Fiyat<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Konu\u015fma-metin API pazar\u0131 $5 milyar seviyesine ula\u015ft\u0131; \u00f6n\u00fcm\u00fczdeki d\u00f6nemde patlama niteli\u011finde bir b\u00fcy\u00fcme bekleniyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">K\u00fcresel konu\u015fma-metin d\u00f6n\u00fc\u015ft\u00fcrme API pazar\u0131, 2024 y\u0131l\u0131nda $5 milyar olarak de\u011ferlendi ve 2034 y\u0131l\u0131na kadar $21 milyara ula\u015fmas\u0131 bekleniyor; bu s\u00fcre zarf\u0131nda y\u0131ll\u0131k bile\u015fik b\u00fcy\u00fcme oran\u0131 (CAGR) ,2% olarak tahmin ediliyor. Bu dikkat \u00e7ekici b\u00fcy\u00fcme e\u011filimi, kurulu\u015flar\u0131n ses i\u00e7eri\u011fi i\u015fleme yakla\u015f\u0131m\u0131nda ya\u015fanan temel bir de\u011fi\u015fimi yans\u0131tmaktad\u0131r. Eskiden manuel transkripsiyon, i\u00e7erik yay\u0131n\u0131n\u0131 geciktiren, eri\u015filebilirli\u011fi s\u0131n\u0131rlayan ve \u00f6l\u00e7eklenebilirli\u011fi k\u0131s\u0131tlayan darbo\u011fazlar yarat\u0131rken, yapay zeka destekli \u00e7\u00f6z\u00fcmler bu engelleri tamamen ortadan kald\u0131rm\u0131\u015ft\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bunun i\u015f d\u00fcnyas\u0131 \u00fczerindeki etkileri, basit maliyet tasarruflar\u0131n\u0131n \u00e7ok \u00f6tesine uzanmaktad\u0131r. \u015eirketler art\u0131k kalite g\u00fcvencesi amac\u0131yla m\u00fc\u015fteri g\u00f6r\u00fc\u015fmelerini metne d\u00f6n\u00fc\u015ft\u00fcrebilir, web seminerlerini arama yap\u0131labilir bilgi tabanlar\u0131na d\u00f6n\u00fc\u015ft\u00fcrebilir ve video i\u00e7eriklerini eri\u015filebilir hale getirebilir \u2014 t\u00fcm bunlar\u0131, insan transkripsiyon uzmanlar\u0131yla ekonomik olarak imkans\u0131z olacak bir \u00f6l\u00e7ekte ger\u00e7ekle\u015ftirebilirler. Bu hizmeti sunan platformlar <a href=\"https:\/\/sonix.ai\/features\/automated-transcription\">otomati\u0307k transkri\u0307psi\u0307yon<\/a> \u0130\u015fletmelerin saatlerce s\u00fcren ses kay\u0131tlar\u0131n\u0131 g\u00fcnler yerine dakikalar i\u00e7inde i\u015fleyebilmesini sa\u011flayarak, i\u00e7erik stratejilerini ve ileti\u015fim i\u015f ak\u0131\u015flar\u0131n\u0131 k\u00f6kten de\u011fi\u015ftiriyor. Bu pazar geni\u015flemesi, transkripsiyonun art\u0131k sadece sesi metne d\u00f6n\u00fc\u015ft\u00fcrmekten ibaret olmad\u0131\u011f\u0131n\u0131, kurumsal bilgiyi ekipler ve zaman dilimleri aras\u0131nda aranabilir, payla\u015f\u0131labilir ve eyleme ge\u00e7irilebilir hale getirmekle ilgili oldu\u011funu fark eden i\u015fletmeler taraf\u0131ndan y\u00f6nlendiriliyor.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Yapay zeka destekli transkripsiyon pazar\u0131n\u0131n 2034 y\u0131l\u0131na kadar d\u00f6rt kat\u0131na \u00e7\u0131kaca\u011f\u0131 \u00f6ng\u00f6r\u00fcl\u00fcyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">K\u00fcresel yapay zeka tabanl\u0131 transkripsiyon pazar\u0131n\u0131n yakla\u015f\u0131k <a href=\"https:\/\/www.linkedin.com\/pulse\/ai-transcription-market-automating-speech-to-text-scale-markets-us-sah9c\">2034 y\u0131l\u0131na kadar $19,2 milyar<\/a>, 2024\u2019teki $4,5 milyar seviyesinden ,6% bile\u015fik y\u0131ll\u0131k b\u00fcy\u00fcme oran\u0131yla art\u0131\u015f g\u00f6sterecektir. Konu\u015fma-metin API pazar\u0131yla paralel seyreden bu b\u00fcy\u00fcme e\u011filimi, yapay zeka yeteneklerinin art\u0131k transkripsiyon hizmetlerinde ikincil \u00f6zellikler olmaktan \u00e7\u0131k\u0131p merkezi bir rol \u00fcstlendi\u011fini ortaya koymaktad\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. \u00d6nde gelen platformlar %+ do\u011fruluk oranlar\u0131na ula\u015fmaktad\u0131r<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">G\u00fcn\u00fcm\u00fcz\u00fcn yapay zeka tabanl\u0131 transkripsiyon platformlar\u0131 art\u0131k <a href=\"https:\/\/sonix.ai\/resources\/automated-transcription-statistics\/\">99%+ do\u011fruluk<\/a>, en uygun ko\u015fullarda insan transkripsiyon kalitesine e\u015fde\u011fer bir sonu\u00e7 ortaya koymaktad\u0131r. Bu, aksanlar\u0131, sekt\u00f6r jargonunu ve birden fazla konu\u015fmac\u0131y\u0131 i\u015fleyemede zorluk \u00e7eken ilk otomatik sistemlere k\u0131yasla \u00e7arp\u0131c\u0131 bir geli\u015fme anlam\u0131na gelmektedir. Transkripsiyon do\u011frulu\u011funda insan seviyesine ula\u015fmak, bir zamanlar iddial\u0131 bir uzun vadeli hedef olarak g\u00f6r\u00fcl\u00fcyordu; g\u00fcn\u00fcm\u00fczde ise kurumsal d\u00fczeydeki platformlar i\u00e7in temel bir beklenti haline gelmi\u015ftir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Web konferans transkripsiyonu, ses teknolojisi uygulamalar\u0131 aras\u0131nda ba\u015f\u0131 \u00e7ekiyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Web konferans\u0131 transkripsiyonu, toplam\u0131n <a href=\"https:\/\/www.fortunebusinessinsights.com\/industry-reports\/speech-and-voice-recognition-market-101382\">yakla\u015f\u0131k 44%<\/a> ses teknolojisi pazar pay\u0131n\u0131n bir k\u0131sm\u0131n\u0131 olu\u015fturuyor; bu da toplant\u0131 kay\u0131tlar\u0131n\u0131n modern i\u015f ak\u0131\u015flar\u0131nda ne kadar merkezi bir rol \u00fcstlendi\u011fini yans\u0131t\u0131yor. Bu hakimiyet, kurulu\u015flar\u0131n kurumsal bilgiyi nas\u0131l toplad\u0131klar\u0131 ve saklad\u0131klar\u0131 konusunda k\u00f6kl\u00fc bir de\u011fi\u015fime i\u015faret ediyor. Otomatik transkripsiyon teknolojisi ortaya \u00e7\u0131kmadan \u00f6nce, toplant\u0131 notlar\u0131 genellikle eksik, \u00f6znel ve not tutmay\u0131 g\u00f6n\u00fcll\u00fc olarak \u00fcstlenen ki\u015fiye ba\u011fl\u0131yd\u0131.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Geli\u015fmi\u015f Ses Tan\u0131ma: Basit Dikte \u0130\u015flevinin \u00d6tesinde<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. \u015eu anda d\u00fcnya \u00e7ap\u0131nda 8,4 milyar dijital sesli asistan kullan\u0131l\u0131yor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u015eu var: <a href=\"https:\/\/www.articsledge.com\/post\/speech-recognition\">8,4 milyar dijital sesli asistan<\/a> 2024 itibar\u0131yla d\u00fcnya \u00e7ap\u0131nda kullan\u0131lmaktad\u0131r \u2014 bu rakam, d\u00fcnya n\u00fcfusunu a\u015fmaktad\u0131r. Bu istatistik, sesli etkile\u015fimin g\u00fcnl\u00fck hayata ne kadar derinlemesine n\u00fcfuz etti\u011fini ortaya koymaktad\u0131r. Ak\u0131ll\u0131 telefonlardan ak\u0131ll\u0131 hoparl\u00f6rlere, otomotiv sistemlerinden giyilebilir cihazlara kadar, sesli asistanlar insanlar ve teknoloji aras\u0131ndaki g\u00f6r\u00fcnmez bir aray\u00fcz katman\u0131 haline gelmi\u015ftir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Her g\u00fcn 153,5 milyon Amerikal\u0131 sesli asistan kullan\u0131yor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Amerika Birle\u015fik Devletleri\u2019nde, <a href=\"https:\/\/www.articsledge.com\/post\/speech-recognition\">153,5 milyon ki\u015fi<\/a> (N\u00fcfusun %'si) sesli asistanlar\u0131 g\u00fcnl\u00fck olarak kullan\u0131yor; bu da bir \u00f6nceki y\u0131la g\u00f6re %2,5%'lik bir b\u00fcy\u00fcmeyi yans\u0131t\u0131yor. Bu istatistik, ses teknolojisinin erken benimseyenlerin \u00f6tesine ge\u00e7erek t\u00fcm demografik gruplar aras\u0131nda yayg\u0131n bir kabul g\u00f6rd\u00fc\u011f\u00fcn\u00fc ortaya koyuyor. G\u00fcnl\u00fck kullan\u0131m al\u0131\u015fkanl\u0131\u011f\u0131 \u00f6zellikle \u00f6nem arz ediyor; bu, ara s\u0131ra yap\u0131lan denemelerden ziyade al\u0131\u015fkanl\u0131k haline gelmi\u015f bir kullan\u0131md\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. 72% oran\u0131nda i\u015fletme, operasyonlar\u0131nda sesli asistanlar\u0131 kullanmaya ba\u015flam\u0131\u015ft\u0131r<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u0130\u015f d\u00fcnyas\u0131ndaki benimsenme, t\u00fcketici e\u011filimleriyle ayn\u0131 h\u0131zda ilerlemi\u015ftir; <a href=\"https:\/\/www.articsledge.com\/post\/speech-recognition\">72% say\u0131da i\u015fletme<\/a> Art\u0131k \u00e7e\u015fitli i\u015flemler i\u00e7in sesli asistanlar kullan\u0131lmaktad\u0131r. Bunlar aras\u0131nda m\u00fc\u015fteri hizmetleri otomasyonu, kurum i\u00e7i ileti\u015fim ve i\u00e7erik olu\u015fturma i\u015f ak\u0131\u015flar\u0131 yer almaktad\u0131r. Y\u00fcksek benimsenme oran\u0131, ses teknolojisinin \u00e7e\u015fitli i\u015f ortamlar\u0131nda de\u011ferini kan\u0131tlad\u0131\u011f\u0131n\u0131 ve BT departmanlar\u0131n\u0131n, sat\u0131n alma ekiplerinin ve b\u00fct\u00e7e inceleme s\u00fcre\u00e7lerinin titiz de\u011ferlendirmelerinden ba\u015far\u0131yla ge\u00e7ti\u011fini g\u00f6stermektedir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>8. Kullan\u0131c\u0131lar\u0131n ,41'i i\u00e7in aksan tan\u0131ma sorunlar\u0131 devam etmektedir<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yapay zeka destekli transkripsiyon alan\u0131nda kayda de\u011fer ilerlemeler kaydedilmi\u015f olsa da, <a href=\"https:\/\/www.fortunebusinessinsights.com\/industry-reports\/speech-and-voice-recognition-market-101382\">30,41 TP4T kullan\u0131c\u0131<\/a> hala aksan tan\u0131ma konusunu bir sorun olarak g\u00f6r\u00fcyorlar. Bu istatistik, daha \u00f6nce ele al\u0131nan 99%+ do\u011fruluk oranlar\u0131na \u00f6nemli bir ba\u011flam sa\u011fl\u0131yor; ortalama do\u011fruluk, farkl\u0131 konu\u015fmac\u0131 \u00f6zellikleri aras\u0131nda performans a\u00e7\u0131s\u0131ndan \u00f6nemli farkl\u0131l\u0131klar\u0131 gizliyor. Ana dili \u0130ngilizce olmayan konu\u015fmac\u0131lar, b\u00f6lgesel aksanlara sahip olanlar ve yeterince temsil edilmeyen dil gruplar\u0131ndan gelen konu\u015fmac\u0131lar genellikle belirgin \u015fekilde daha d\u00fc\u015f\u00fck do\u011fruluk oranlar\u0131yla kar\u015f\u0131la\u015f\u0131yor.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u00c7e\u015fitli Sekt\u00f6rlere Y\u00f6nelik \u00d6zel Transkripsiyon Hizmetleri<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>9. T\u0131p sekt\u00f6r\u00fc, yapay zeka transkripsiyon pazar\u0131nda ,71'lik payla ba\u015f\u0131 \u00e7ekiyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">T\u0131p sekt\u00f6r\u00fc, yapay zeka transkripsiyon pazar\u0131nda ,71\u2019lik pay\u0131yla en b\u00fcy\u00fck kullan\u0131c\u0131 segmenti olarak \u00f6ne \u00e7\u0131km\u0131\u015ft\u0131r. Bu hakimiyet, sa\u011fl\u0131k hizmetleri ortamlar\u0131n\u0131 karakterize eden y\u00fcksek transkripsiyon hacmi, kat\u0131 do\u011fruluk gereklilikleri ve uzmanl\u0131k terimlerinin benzersiz birle\u015fimini yans\u0131tmaktad\u0131r. Doktorlar, hem\u015fireler ve di\u011fer klinisyenler, hasta g\u00f6r\u00fc\u015fmeleri s\u0131ras\u0131nda muazzam miktarda s\u00f6zl\u00fc kay\u0131t olu\u015ftururlar ve bu s\u00f6zl\u00fc notlar\u0131 elektronik sa\u011fl\u0131k kay\u0131tlar\u0131na (EHR) d\u00f6n\u00fc\u015ft\u00fcrmek, ge\u00e7mi\u015fte \u00f6nemli \u00f6l\u00e7\u00fcde zaman ve kaynak t\u00fcketmi\u015ftir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/sonix.ai\/medical-transcription\">T\u0131bbi transkripsiyon<\/a> genel ama\u00e7l\u0131 transkripsiyon sistemlerinin kafas\u0131n\u0131 kar\u0131\u015ft\u0131rabilecek klinik terminolojiyi, ila\u00e7 adlar\u0131n\u0131, anatomik referanslar\u0131 ve t\u0131bbi prosed\u00fcrleri kavrayabilen \u00f6zel modeller gerektirir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>10. Sa\u011fl\u0131k sekt\u00f6r\u00fcndeki transkripsiyon hacminin 2025 y\u0131l\u0131na kadar $493,3 milyona ula\u015faca\u011f\u0131 tahmin ediliyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Sa\u011fl\u0131k sekt\u00f6r\u00fcn\u00fcn h\u0131zla b\u00fcy\u00fcyece\u011fi ve yakla\u015f\u0131k <a href=\"https:\/\/www.fortunebusinessinsights.com\/speech-to-text-api-market-102781\">2025 y\u0131l\u0131na kadar $493,3 milyon<\/a> sadece konu\u015fma-metin API pazar\u0131nda. Bu b\u00fcy\u00fcme tahmini, hem artan benimseme oranlar\u0131n\u0131 hem de sa\u011fl\u0131k hizmetleri ortamlar\u0131ndaki kullan\u0131m alanlar\u0131n\u0131n geni\u015flemesini yans\u0131tmaktad\u0131r. Geleneksel doktor dikte uygulamalar\u0131n\u0131n \u00f6tesinde, sa\u011fl\u0131k kurulu\u015flar\u0131 transkripsiyon hizmetini telet\u0131p randevular\u0131nda, klinik ara\u015ft\u0131rma g\u00f6r\u00fc\u015fmelerinde, hasta e\u011fitimi oturumlar\u0131nda ve idari toplant\u0131larda kullanmaktad\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>11. Kuzey Amerika, yapay zeka destekli transkripsiyon alan\u0131nda $1,58 milyar gelir elde ediyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Kuzey Amerika, ___'dan fazla ile yapay zeka transkripsiyon pazar\u0131nda hakim konumdayd\u0131 <a href=\"https:\/\/www.linkedin.com\/pulse\/ai-transcription-market-automating-speech-to-text-scale-markets-us-sah9c\">2024 y\u0131l\u0131nda 35.2%\u2019nin pay\u0131<\/a>, yakla\u015f\u0131k $1.58 milyar gelir elde etti. Sadece Amerika Birle\u015fik Devletleri, ,61'lik tahmini y\u0131ll\u0131k bile\u015fik b\u00fcy\u00fcme oran\u0131yla yakla\u015f\u0131k $1,34 milyar dolarl\u0131k katk\u0131 sa\u011flad\u0131. Bu b\u00f6lgesel hakimiyet, bulut teknolojilerinin erken benimsenmesi, otomasyonu ekonomik a\u00e7\u0131dan cazip k\u0131lan y\u00fcksek i\u015fg\u00fcc\u00fc maliyetleri ve transkripsiyon platformlar\u0131n\u0131 geli\u015ftiren ve iyile\u015ftiren teknoloji \u015firketlerinin yo\u011funla\u015fmas\u0131 gibi \u00e7e\u015fitli fakt\u00f6rleri yans\u0131tmaktad\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>12. Ses i\u015fleme ara\u00e7lar\u0131n\u0131n kullan\u0131m\u0131, bir \u00f6nceki y\u0131la g\u00f6re %+ art\u0131\u015f g\u00f6sterdi<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Medya ve podcast sekt\u00f6rleri, bu geli\u015fmeyi tetiklemi\u015ftir <a href=\"https:\/\/virtuemarketresearch.com\/report\/audio-processing-tools-market\">50%'den fazla<\/a> ses i\u015fleme ara\u00e7lar\u0131n\u0131n kullan\u0131m\u0131nda bir \u00f6nceki y\u0131la g\u00f6re kaydedilen b\u00fcy\u00fcme. Bu ola\u011fan\u00fcst\u00fc b\u00fcy\u00fcme oran\u0131, podcast \u00fcretiminin ve genel olarak ses i\u00e7eri\u011finin patlama ya\u015fad\u0131\u011f\u0131n\u0131 yans\u0131tmaktad\u0131r. Podcasting, ni\u015f bir hobiden ana ak\u0131m bir medya format\u0131na d\u00f6n\u00fc\u015f\u00fcrken, i\u00e7erik \u00fcreticiler ses i\u00e7eriklerini ke\u015ffedilebilir ve eri\u015filebilir hale getirme konusunda giderek artan bir bask\u0131 ile kar\u015f\u0131 kar\u015f\u0131ya kalmaktad\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u00c7eviri ve Altyaz\u0131larla Eri\u015filebilirli\u011fi ve K\u00fcresel Etkiyi Art\u0131rma<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>13. N\u00f6ral\/yapay zeka sesleri, pazar gelirinin 67,91 TP4T\u2019sini olu\u015fturuyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Sinir a\u011f\u0131 ve yapay zeka taraf\u0131ndan \u00fcretilen sesler kaydedildi <a href=\"https:\/\/www.mordorintelligence.com\/industry-reports\/text-to-speech-market\">67.90% gelir pay\u0131<\/a> 2024 y\u0131l\u0131nda metin-konu\u015fma pazar\u0131nda, ,60% bile\u015fik y\u0131ll\u0131k b\u00fcy\u00fcme oran\u0131yla b\u00fcy\u00fcyor. Bu istatistik, konu\u015fma-metin yerine metin-konu\u015fmaya odaklansa da, ses-metin d\u00f6n\u00fc\u015ft\u00fcrme s\u00fcrecinin her iki y\u00f6n\u00fcnde de giderek artan bir geli\u015fmi\u015fli\u011fe i\u015faret ediyor. N\u00f6ral seslerin hakimiyeti, kullan\u0131c\u0131lar\u0131n \u00f6nceki nesillerin robotik seslerine k\u0131yasla do\u011fal t\u0131nlayan sentez sesleri tercih etti\u011fini yans\u0131tmaktad\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>14. Bulut tabanl\u0131 \u00e7\u00f6z\u00fcmler, ,81'lik bir pazar pay\u0131na sahiptir<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Bulut tabanl\u0131 da\u011f\u0131t\u0131m modelleri korunmu\u015ftur <a href=\"https:\/\/www.mordorintelligence.com\/industry-reports\/text-to-speech-market\">63.80%<\/a> 2024 y\u0131l\u0131nda metin-konu\u015fma pazar\u0131n\u0131n; benzer e\u011filimler transkripsiyon hizmetlerinde de g\u00f6zlemlenmektedir. Bulut platformlar\u0131n\u0131n hakimiyeti, \u015firket i\u00e7i yaz\u0131l\u0131m kurulumlar\u0131ndan altyap\u0131 yat\u0131r\u0131m\u0131 gerektirmeyen abonelik tabanl\u0131 hizmetlere do\u011fru k\u00f6kl\u00fc bir ge\u00e7i\u015fi temsil etmektedir. Bulut platformlar\u0131, BT departmanlar\u0131n\u0131n sunucu sa\u011flama, g\u00fcncellemeleri y\u00f6netme veya \u00f6zel donan\u0131mlar\u0131n bak\u0131m\u0131n\u0131 yapma ihtiyac\u0131n\u0131 ortadan kald\u0131rmaktad\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Transkripsiyonun \u00d6tesinde: Ses \u0130\u00e7eriklerinden Yapay Zeka Analizi ve \u00c7\u0131kar\u0131mlar<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>15. Yapay zeka destekli toplant\u0131 transkripsiyon pazar\u0131, ,62% bile\u015fik y\u0131ll\u0131k b\u00fcy\u00fcme oran\u0131yla b\u00fcy\u00fcyor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yapay zeka destekli toplant\u0131 transkripsiyon pazar\u0131n\u0131n, 2025 y\u0131l\u0131nda $3,86 milyar seviyesinden <a href=\"https:\/\/sonix.ai\/resources\/automated-transcription-statistics\/\">2034 y\u0131l\u0131na kadar $29,45 milyar<\/a> ,62% y\u0131ll\u0131k bile\u015fik b\u00fcy\u00fcme oran\u0131yla. Bu b\u00fcy\u00fcme oran\u0131, genel transkripsiyon pazar\u0131ndaki b\u00fcy\u00fcmeyi \u00f6nemli \u00f6l\u00e7\u00fcde a\u015fmaktad\u0131r; bu da toplant\u0131 odakl\u0131 transkripsiyonun, kendine \u00f6zg\u00fc gereksinimleri ve daha y\u00fcksek b\u00fcy\u00fcme potansiyeli olan ayr\u0131 bir kategori haline geldi\u011fini g\u00f6stermektedir. Toplant\u0131 transkripsiyon pazar\u0131, yaln\u0131zca sesin metne d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesini de\u011fil, ayn\u0131 zamanda konu\u015fmalardan eyleme ge\u00e7irilebilir i\u00e7g\u00f6r\u00fcler elde etmeyi de kapsamaktad\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Sonix, Ses-Metin D\u00f6n\u00fc\u015f\u00fcm\u00fcn\u00fc Nas\u0131l Sa\u011fl\u0131yor?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Yukar\u0131da \u00f6zetlenen 14 trend, ses-metin d\u00f6n\u00fc\u015ft\u00fcrme i\u015fleminin bir kolayl\u0131k \u00f6zelli\u011finden kritik bir i\u015f altyap\u0131s\u0131na d\u00f6n\u00fc\u015ft\u00fc\u011f\u00fcn\u00fc g\u00f6stermektedir. Pazar\u0131n b\u00fcy\u00fckl\u00fc\u011f\u00fc $5 milyar seviyesinden 2034 y\u0131l\u0131na kadar tahmini $21 milyar seviyesine ula\u015f\u0131rken, transkripsiyon teknolojisini etkin bir \u015fekilde kullanan kurulu\u015flar \u00fcretkenlik, eri\u015filebilirlik ve i\u00e7erik de\u011ferinden yararlanma a\u00e7\u0131s\u0131ndan \u00f6l\u00e7\u00fclebilir avantajlar elde edeceklerdir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sonix, profesyonellerin bu trendlerden en iyi \u015fekilde yararlanabilmeleri i\u00e7in ihtiya\u00e7 duyduklar\u0131 kapsaml\u0131 bir platform sunar:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Sekt\u00f6r lideri do\u011fruluk<\/strong> \u2014 Sonix, transkriptlerin kapsaml\u0131 bir d\u00fczenleme gerektirmeden yay\u0131n, hukuki belgeler ve t\u0131bbi kay\u0131tlar i\u00e7in uygun hale getiren 99%+ do\u011frulu\u011funu sunar<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Otomatik \u00e7eviri<\/strong> \u2014 Ekip verimlili\u011fini d\u00fc\u015f\u00fcren dil engellerini a\u015fmak i\u00e7in <a href=\"https:\/\/sonix.ai\/features\/automated-translation\">otomati\u0307k \u00e7evi\u0307ri\u0307<\/a> 50'den fazla dili kapsayan ve ger\u00e7ek anlamda k\u00fcresel bir i\u015fbirli\u011fini m\u00fcmk\u00fcn k\u0131lan<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Yapay zeka destekli analiz<\/strong> \u2014 Basit transkripsiyonun \u00f6tesine ge\u00e7erek, \u015fu ara\u00e7larla i\u00e7g\u00f6r\u00fcler elde edin: <a href=\"https:\/\/sonix.ai\/features\/ai-analysis\">Yapay zeka analiz ara\u00e7lar\u0131<\/a> temalar\u0131, konular\u0131, anahtar kelimeleri ve \u00f6nemli anlar\u0131 otomatik olarak belirleyen<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Kesintisiz i\u015fbirli\u011fi<\/strong> \u2014 Da\u011f\u0131n\u0131k ekiplerin, transkriptleri birlikte inceleyip not ekleyebilmelerini sa\u011flamak <a href=\"https:\/\/sonix.ai\/features\/collaborate-with-teams\">eki\u0307p i\u0307\u015fbi\u0307rli\u0307\u011fi\u0307 \u00f6zelli\u0307kleri\u0307<\/a> transkriptleri statik kay\u0131tlardan ziyade canl\u0131 belgeler haline getiren unsurlar<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Kurumsal d\u00fczeyde g\u00fcvenlik<\/strong> \u2014 SOC 2 Tip II sertifikal\u0131 altyap\u0131, AES-256 \u015fifreleme ve sa\u011fl\u0131k, hukuk ve kurumsal g\u00fcvenlik gereksinimlerini kar\u015f\u0131layan yap\u0131land\u0131r\u0131labilir eri\u015fim denetimleri sayesinde hassas i\u00e7erikleri g\u00fcvenle i\u015fleyin<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Otomatik altyaz\u0131lar<\/strong> \u2014 70% ile i\u00e7erik eri\u015filebilirli\u011fini art\u0131r\u0131n ve daha geni\u015f kitlelere ula\u015f\u0131n <a href=\"https:\/\/sonix.ai\/features\/automated-subtitles\">otomatik altyaz\u0131lar<\/a> video i\u00e7eri\u011fi i\u00e7in<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Sekt\u00f6re \u00f6zel \u00e7\u00f6z\u00fcmler<\/strong> \u2014 A\u015fa\u011f\u0131dakiler i\u00e7in \u00f6zel modellere eri\u015fin: <a href=\"https:\/\/sonix.ai\/medical-transcription\">t\u0131bbi transkripsiyon<\/a> klinik terminolojiyi ve i\u015f ak\u0131\u015flar\u0131n\u0131 anlayan ve sa\u011fl\u0131k hizmetleri belgelerinin do\u011frulu\u011funu sa\u011flayan<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Bulut tabanl\u0131 esneklik<\/strong> \u2014 Bulut tabanl\u0131 \u00e7\u00f6z\u00fcmlere ge\u00e7i\u015f yapan 63% kurulu\u015flara kat\u0131l\u0131n ve BT y\u00fck\u00fc ya da altyap\u0131 yat\u0131r\u0131m\u0131 gerektirmeden herhangi bir cihazdan transkriptlerinize eri\u015fin<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Toplant\u0131 transkripsiyonu sekt\u00f6r\u00fc y\u0131ll\u0131k bile\u015fik b\u00fcy\u00fcme oran\u0131 (CAGR) ,62% ile b\u00fcy\u00fcrken ve ses teknolojisi d\u00fcnya \u00e7ap\u0131nda 8,4 milyar cihaza ula\u015f\u0131rken, ba\u015far\u0131l\u0131 olacak kurulu\u015flar, sesi ge\u00e7ici bir ortamdan aranabilir ve eyleme ge\u00e7irilebilir bilgiye d\u00f6n\u00fc\u015ft\u00fcrebilenler olacakt\u0131r. Sonix, bu d\u00f6n\u00fc\u015f\u00fcm\u00fc kurulu\u015funuzun tamam\u0131nda sorunsuz, g\u00fcvenli ve \u00f6l\u00e7eklenebilir hale getirecek bir platform sunar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sesli i\u00e7eri\u011fin gelece\u011fi, metin tabanl\u0131, yapay zeka ile analiz edilen ve d\u00fcnya \u00e7ap\u0131nda eri\u015filebilir olacakt\u0131r. Sonix ile bu gelecek, bug\u00fcn zaten ger\u00e7e\u011fe d\u00f6n\u00fc\u015fm\u00fc\u015ft\u00fcr.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>S\u0131k\u00e7a Sorulan Sorular<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Modern yapay zeka transkripsiyonu, insan taraf\u0131ndan yap\u0131lan transkripsiyona k\u0131yasla ne kadar do\u011frudur?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u00d6nde gelen yapay zeka transkripsiyon platformlar\u0131 art\u0131k %+ do\u011fruluk oranlar\u0131na ula\u015fmakta ve optimum ses ko\u015fullar\u0131nda profesyonel insan transkripsiyon uzmanlar\u0131yla etkili bir \u015fekilde e\u015fde\u011fer performans sergilemektedir. Bununla birlikte, do\u011fruluk oran\u0131 ses kalitesi, konu\u015fmac\u0131lar\u0131n aksanlar\u0131, arka plan g\u00fcr\u00fclt\u00fcs\u00fc ve \u00f6zel kelime da\u011farc\u0131\u011f\u0131na ba\u011fl\u0131 olarak \u00f6nemli \u00f6l\u00e7\u00fcde de\u011fi\u015fiklik g\u00f6stermektedir. Kullan\u0131c\u0131lar\u0131n ,41'i hala aksan tan\u0131ma konusunu bir sorun olarak g\u00f6rse de, yapay zeka modelleri, geni\u015fletilmi\u015f e\u011fitim verileri ve \u00e7e\u015fitli konu\u015fmac\u0131 gruplar\u0131na y\u00f6nelik hedefli geli\u015ftirme \u00e7al\u0131\u015fmalar\u0131 sayesinde s\u00fcrekli iyile\u015fmeye devam ediyor. \u0130\u015f uygulamalar\u0131 a\u00e7\u0131s\u0131ndan, modern yapay zeka transkripsiyonu \u00e7o\u011fu kullan\u0131m senaryosu i\u00e7in yeterli do\u011fruluk sunarken, insan transkripsiyonuna k\u0131yasla \u00f6nemli h\u0131z ve maliyet avantajlar\u0131 sa\u011fl\u0131yor.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Ses-metin d\u00f6n\u00fc\u015ft\u00fcrme i\u015fleminden en \u00e7ok hangi sekt\u00f6rler yararlanmaktad\u0131r?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Sa\u011fl\u0131k sekt\u00f6r\u00fc, y\u00fcksek dok\u00fcmantasyon hacimleri ve \u00f6zel klinik terminoloji gereksinimleri sayesinde ,7% pazar pay\u0131yla bu teknolojinin benimsenmesinde ba\u015f\u0131 \u00e7ekiyor. Yaln\u0131zca t\u0131bbi transkripsiyon pazar\u0131n\u0131n 2025 y\u0131l\u0131na kadar $493,3 milyona ula\u015faca\u011f\u0131 tahmin ediliyor. Hukuk, medya \u00fcretimi, ara\u015ft\u0131rma ve e\u011fitim sekt\u00f6rleri de g\u00fc\u00e7l\u00fc bir benimseme e\u011filimi sergilemektedir; her biri, sesli i\u00e7eri\u011fi aranabilir ve payla\u015f\u0131labilir metne d\u00f6n\u00fc\u015ft\u00fcrme yetene\u011finden faydalanmaktad\u0131r. Esasen, r\u00f6portajlar, toplant\u0131lar, m\u00fc\u015fteri g\u00f6r\u00fc\u015fmeleri veya kaydedilmi\u015f i\u00e7eriklerle u\u011fra\u015fan her sekt\u00f6r, otomatik transkripsiyondan faydalanmaktad\u0131r. \u00d6zellikle medya ve podcast sekt\u00f6rleri, i\u00e7erik \u00fcreticilerin transkripsiyon ve yeniden kullan\u0131m yoluyla sesli i\u00e7eri\u011fin de\u011ferini en \u00fcst d\u00fczeye \u00e7\u0131karmaya \u00e7al\u0131\u015fmas\u0131 nedeniyle, ses i\u015fleme ara\u00e7lar\u0131nda y\u0131ll\u0131k bazda %'nin \u00fczerinde bir b\u00fcy\u00fcmeye \u00f6nc\u00fcl\u00fck etmi\u015ftir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Son y\u0131llarda transkripsiyon pazar\u0131 nas\u0131l bir b\u00fcy\u00fcme kaydetti?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">K\u00fcresel konu\u015fma-metin d\u00f6n\u00fc\u015ft\u00fcrme API pazar\u0131, 2024 y\u0131l\u0131nda $5 milyar seviyesine ula\u015ft\u0131 ve 2034 y\u0131l\u0131na kadar y\u0131ll\u0131k bile\u015fik b\u00fcy\u00fcme oran\u0131 (CAGR) ,2% ile $21 milyara ula\u015fmas\u0131 \u00f6ng\u00f6r\u00fcl\u00fcyor. Daha geni\u015f kapsaml\u0131 yapay zeka (AI) transkripsiyon pazar\u0131n\u0131n ise 2024'teki $4,5 milyar seviyesinden 2034 y\u0131l\u0131na kadar $19,2 milyara \u00e7\u0131karak d\u00f6rt kat\u0131na ula\u015fmas\u0131 bekleniyor. Kuzey Amerika, $1,58 milyar gelir ve ,2% pazar pay\u0131yla lider konumda yer al\u0131yor. AI toplant\u0131 transkripsiyon segmenti ise ,62%'lik YBBO ile daha da \u00e7arp\u0131c\u0131 bir b\u00fcy\u00fcme sergiliyor ve 2034 y\u0131l\u0131na kadar $29,45 milyar seviyesine ula\u015fmas\u0131 \u00f6ng\u00f6r\u00fcl\u00fcyor. Bu b\u00fcy\u00fcme, i\u015fletmelerin transkripsiyonun ses dosyalar\u0131nda hapsolmak yerine ses i\u00e7eri\u011fini aranabilir, payla\u015f\u0131labilir ve eyleme ge\u00e7irilebilir hale getirerek de\u011fer yaratmas\u0131n\u0131 fark etmelerinin bir yans\u0131mas\u0131d\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Bulut tabanl\u0131 transkripsiyon, hassas i\u00e7erikler i\u00e7in yeterince g\u00fcvenli midir?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Bulut tabanl\u0131 \u00e7\u00f6z\u00fcmler, tam da g\u00fcvenli\u011fin \u00f6nemli \u00f6l\u00e7\u00fcde olgunla\u015fm\u0131\u015f olmas\u0131 nedeniyle \u015fu anda %'nin \u00fczerinde bir pazar pay\u0131na sahiptir. Kurumsal d\u00fczeyde g\u00fcvenlik sertifikalar\u0131na sahip platformlar, aktar\u0131m s\u0131ras\u0131nda ve depolama s\u0131ras\u0131nda \u015fifreleme, rol tabanl\u0131 eri\u015fim kontrolleri ve genellikle \u015firket i\u00e7i alternatifleri a\u015fan uyumluluk \u00e7er\u00e7eveleri sunar. SOC 2 Tip II uyumlulu\u011fu, \u015fifreleme standartlar\u0131 (aktar\u0131m s\u0131ras\u0131nda TLS 1.2\/1.3, depolama s\u0131ras\u0131nda AES-256), GDPR ile uyumlu veri i\u015fleme ve yap\u0131land\u0131r\u0131labilir veri saklama politikalar\u0131n\u0131 aray\u0131n. Kurumsal kullan\u0131c\u0131lar, kimlik do\u011frulama y\u00f6netimi i\u00e7in SSO\/SAML deste\u011fini de dikkate almal\u0131d\u0131r. AI transkripsiyon pazar\u0131n\u0131n ,71'ini elinde bulunduran sa\u011fl\u0131k gibi g\u00fcvenlik bilincine sahip sekt\u00f6rlerdeki y\u00fcksek bulut benimseme oran\u0131, bulut transkripsiyon platformlar\u0131n\u0131n hassas i\u00e7erikler i\u00e7in gerekli g\u00fcvenlik ve uyumluluk standartlar\u0131na ula\u015ft\u0131\u011f\u0131n\u0131 g\u00f6stermektedir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Ses teknolojisinin benimsenme oran\u0131 ne kadar yayg\u0131n?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ses teknolojisi, 2024 itibar\u0131yla d\u00fcnya genelinde 8,4 milyar dijital sesli asistan\u0131n kullan\u0131mda olmas\u0131yla \u2013 bu rakam d\u00fcnya n\u00fcfusunu a\u015f\u0131yor \u2013 dikkate de\u011fer bir yayg\u0131nl\u0131k d\u00fczeyine ula\u015fm\u0131\u015ft\u0131r. Amerika Birle\u015fik Devletleri'nde 153,5 milyon ki\u015fi (n\u00fcfusun %'si) g\u00fcnl\u00fck olarak sesli asistan kullanmaktad\u0131r; bu durum, y\u0131ll\u0131k bazda %2,5%'lik s\u00fcrd\u00fcr\u00fclebilir bir b\u00fcy\u00fcmeyi yans\u0131tmaktad\u0131r. \u0130\u015f d\u00fcnyas\u0131ndaki benimsenme, t\u00fcketici e\u011filimlerini yans\u0131tmaktad\u0131r; \u015fu anda i\u015fletmelerin %'si \u00e7e\u015fitli i\u015flemler i\u00e7in sesli asistanlar kullanmaktad\u0131r. Yaln\u0131zca web konferans transkripsiyonu, ses teknolojisi pazar pay\u0131n\u0131n %'sini olu\u015fturmaktad\u0131r; bu da toplant\u0131 kay\u0131tlar\u0131n\u0131n modern i\u015f ak\u0131\u015flar\u0131nda ne kadar merkezi bir rol \u00fcstlendi\u011fini g\u00f6stermektedir. Bu yayg\u0131n benimsenme, sesli aray\u00fczlere zaten a\u015fina bir i\u015fg\u00fcc\u00fc yaratarak, transkripsiyon \u00e7\u00f6z\u00fcmlerinin uygulanmas\u0131 s\u0131ras\u0131nda ya\u015fanan zorluklar\u0131 azaltmaktad\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"<p>Yapay zeka destekli transkripsiyon, \u00e7eviri ve ses tan\u0131ma alan\u0131ndaki kapsaml\u0131 ara\u015ft\u0131rmalardan derlenen kapsaml\u0131 veriler \u00d6nemli Noktalar Yapay Zeka Destekli Ses Transkripsiyonunun Y\u00fckseli\u015fi: H\u0131z, Do\u011fruluk ve Uygun Maliyet 1. Konu\u015fma-metin API pazar\u0131\u2026<\/p>","protected":false},"author":14,"featured_media":3191,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","footnotes":""},"categories":[8],"tags":[],"class_list":["post-3190","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-did-you-know"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>14 Audio to Text Processing Trends Every Professional Should Know in 2026 &#8226; Sonix<\/title>\n<meta name=\"description\" content=\"Explore 14 audio-to-text trends for 2026, highlighting AI transcription growth, 99% accuracy, cloud adoption, and productivity gains.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sonix.ai\/resources\/tr\/ses-metin-donusturme-alanindaki-egilimler\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"14 Audio to Text Processing Trends Every Professional Should Know in 2026 &#8226; Sonix\" \/>\n<meta property=\"og:description\" content=\"Explore 14 audio-to-text trends for 2026, highlighting AI transcription growth, 99% accuracy, cloud adoption, and productivity gains.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sonix.ai\/resources\/tr\/ses-metin-donusturme-alanindaki-egilimler\/\" \/>\n<meta property=\"og:site_name\" content=\"Sonix\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/trysonix\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-04T07:20:39+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-06T06:03:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2048\" \/>\n\t<meta property=\"og:image:height\" content=\"1365\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Loud Speaker\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@trysonix\" \/>\n<meta name=\"twitter:site\" content=\"@trysonix\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Loud Speaker\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/\"},\"author\":{\"name\":\"Loud Speaker\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/person\\\/8d008f049230fc3c193e224cf7f27fc2\"},\"headline\":\"14 Audio to Text Processing Trends Every Professional Should Know in 2026\",\"datePublished\":\"2026-07-04T07:20:39+00:00\",\"dateModified\":\"2026-08-06T06:03:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/\"},\"wordCount\":2085,\"publisher\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg\",\"articleSection\":[\"Did you know?\"],\"inLanguage\":\"tr\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/\",\"name\":\"14 Audio to Text Processing Trends Every Professional Should Know in 2026 &#8226; Sonix\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg\",\"datePublished\":\"2026-07-04T07:20:39+00:00\",\"dateModified\":\"2026-08-06T06:03:56+00:00\",\"description\":\"Explore 14 audio-to-text trends for 2026, highlighting AI transcription growth, 99% accuracy, cloud adoption, and productivity gains.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/#primaryimage\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg\",\"contentUrl\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg\",\"width\":2048,\"height\":1365},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/audio-to-text-processing-trends\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"14 Audio to Text Processing Trends Every Professional Should Know in 2026\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#website\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/\",\"name\":\"Sonix\",\"description\":\"Automatically convert your audio and video files to text\",\"publisher\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"tr\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#organization\",\"name\":\"Sonix.ai\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2017\\\/12\\\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2017\\\/12\\\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1\",\"width\":310,\"height\":310,\"caption\":\"Sonix.ai\"},\"image\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/trysonix\\\/\",\"https:\\\/\\\/x.com\\\/trysonix\",\"https:\\\/\\\/ke.linkedin.com\\\/company\\\/sonix-inc\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/person\\\/8d008f049230fc3c193e224cf7f27fc2\",\"name\":\"Loud Speaker\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g\",\"caption\":\"Loud Speaker\"},\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/tr\\\/author\\\/loudspeaker\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"2026'da Her Profesyonelin Bilmesi Gereken 14 Ses-Metin D\u00f6n\u00fc\u015ft\u00fcrme E\u011filimi \u2022 Sonix","description":"2026 y\u0131l\u0131na y\u00f6nelik 14 ses-metin d\u00f6n\u00fc\u015ft\u00fcrme trendini ke\u015ffedin; bu trendler aras\u0131nda yapay zeka destekli transkripsiyonun b\u00fcy\u00fcmesi, 99% do\u011frulu\u011fu, bulut teknolojisinin benimsenmesi ve verimlilik art\u0131\u015flar\u0131 \u00f6ne \u00e7\u0131k\u0131yor.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sonix.ai\/resources\/tr\/ses-metin-donusturme-alanindaki-egilimler\/","og_locale":"tr_TR","og_type":"article","og_title":"14 Audio to Text Processing Trends Every Professional Should Know in 2026 &#8226; Sonix","og_description":"Explore 14 audio-to-text trends for 2026, highlighting AI transcription growth, 99% accuracy, cloud adoption, and productivity gains.","og_url":"https:\/\/sonix.ai\/resources\/tr\/ses-metin-donusturme-alanindaki-egilimler\/","og_site_name":"Sonix","article_publisher":"https:\/\/www.facebook.com\/trysonix\/","article_published_time":"2026-07-04T07:20:39+00:00","article_modified_time":"2026-08-06T06:03:56+00:00","og_image":[{"width":2048,"height":1365,"url":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg","type":"image\/jpeg"}],"author":"Loud Speaker","twitter_card":"summary_large_image","twitter_creator":"@trysonix","twitter_site":"@trysonix","twitter_misc":{"Yazan:":"Loud Speaker","Tahmini okuma s\u00fcresi":"10 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/#article","isPartOf":{"@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/"},"author":{"name":"Loud Speaker","@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/person\/8d008f049230fc3c193e224cf7f27fc2"},"headline":"14 Audio to Text Processing Trends Every Professional Should Know in 2026","datePublished":"2026-07-04T07:20:39+00:00","dateModified":"2026-08-06T06:03:56+00:00","mainEntityOfPage":{"@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/"},"wordCount":2085,"publisher":{"@id":"https:\/\/sonix.ai\/resources\/es\/#organization"},"image":{"@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/#primaryimage"},"thumbnailUrl":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg","articleSection":["Did you know?"],"inLanguage":"tr"},{"@type":"WebPage","@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/","url":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/","name":"2026'da Her Profesyonelin Bilmesi Gereken 14 Ses-Metin D\u00f6n\u00fc\u015ft\u00fcrme E\u011filimi \u2022 Sonix","isPartOf":{"@id":"https:\/\/sonix.ai\/resources\/es\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/#primaryimage"},"image":{"@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/#primaryimage"},"thumbnailUrl":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg","datePublished":"2026-07-04T07:20:39+00:00","dateModified":"2026-08-06T06:03:56+00:00","description":"2026 y\u0131l\u0131na y\u00f6nelik 14 ses-metin d\u00f6n\u00fc\u015ft\u00fcrme trendini ke\u015ffedin; bu trendler aras\u0131nda yapay zeka destekli transkripsiyonun b\u00fcy\u00fcmesi, 99% do\u011frulu\u011fu, bulut teknolojisinin benimsenmesi ve verimlilik art\u0131\u015flar\u0131 \u00f6ne \u00e7\u0131k\u0131yor.","breadcrumb":{"@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/"]}]},{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/#primaryimage","url":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg","contentUrl":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/14-Audio-to-Text-Processing-Trends-Every-Professional-Should-Know-in-2026-scaled.jpg","width":2048,"height":1365},{"@type":"BreadcrumbList","@id":"https:\/\/sonix.ai\/resources\/audio-to-text-processing-trends\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sonix.ai\/resources\/es\/"},{"@type":"ListItem","position":2,"name":"14 Audio to Text Processing Trends Every Professional Should Know in 2026"}]},{"@type":"WebSite","@id":"https:\/\/sonix.ai\/resources\/es\/#website","url":"https:\/\/sonix.ai\/resources\/es\/","name":"Sonix","description":"Ses ve video dosyalar\u0131n\u0131z\u0131 otomatik olarak metne d\u00f6n\u00fc\u015ft\u00fcr\u00fcn","publisher":{"@id":"https:\/\/sonix.ai\/resources\/es\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sonix.ai\/resources\/es\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"tr"},{"@type":"Organization","@id":"https:\/\/sonix.ai\/resources\/es\/#organization","name":"Sonix.ai","url":"https:\/\/sonix.ai\/resources\/es\/","logo":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/logo\/image\/","url":"https:\/\/i0.wp.com\/sonix.ai\/resources\/wp-content\/uploads\/2017\/12\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1","contentUrl":"https:\/\/i0.wp.com\/sonix.ai\/resources\/wp-content\/uploads\/2017\/12\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1","width":310,"height":310,"caption":"Sonix.ai"},"image":{"@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/trysonix\/","https:\/\/x.com\/trysonix","https:\/\/ke.linkedin.com\/company\/sonix-inc"]},{"@type":"Person","@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/person\/8d008f049230fc3c193e224cf7f27fc2","name":"Y\u00fcksek Sesli Hoparl\u00f6r","image":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/secure.gravatar.com\/avatar\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g","caption":"Loud Speaker"},"url":"https:\/\/sonix.ai\/resources\/tr\/author\/loudspeaker\/"}]}},"_links":{"self":[{"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/posts\/3190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/comments?post=3190"}],"version-history":[{"count":1,"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/posts\/3190\/revisions"}],"predecessor-version":[{"id":4124,"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/posts\/3190\/revisions\/4124"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/media\/3191"}],"wp:attachment":[{"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/media?parent=3190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/categories?post=3190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sonix.ai\/resources\/tr\/wp-json\/wp\/v2\/tags?post=3190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}